Evidence map›Paper›PMID 41745265›Full record

ArticleJournal of fungi (Basel, Switzerland)2026

Characterization of the Effector Candidate Repertoire in the Arbuscular Mycorrhizal Fungus

Yi Huang, Lumei Bi, Ying Zhu, Li Chen, Ruifeng Yao

Abstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yi HuangState Key Laboratory of Chemo and Biosensing, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Longping Agricultural College, Hunan University, Changsha 410082, China.
Lumei BiState Key Laboratory of Chemo and Biosensing, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Longping Agricultural College, Hunan University, Changsha 410082, China.
Ying ZhuChina Key Laboratory of Microbial Resources Exploitation and Application of Gansu Province, Institute of Biology, Gansu Academy of Sciences, Lanzhou 730000, China.
Li ChenState Key Laboratory of Chemo and Biosensing, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Longping Agricultural College, Hunan University, Changsha 410082, China.
Ruifeng YaoState Key Laboratory of Chemo and Biosensing, Hunan Provincial Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Longping Agricultural College, Hunan University, Changsha 410082, China.

Funding

Central Guidance for Local Science and Technology Development Fund Project in Hunan 2024ZYC029Department of Science and Technology of Hunan Province 2023RC1050Hunan Science and Technology Innovation Plan 2025ZY1003Key Talent Project of Gansu Province, China 2025RCXM056National Natural Science Foundation of China 32270334National Natural Science Foundation of China 32401441National Natural Science Foundation of China 32470340Science and Technology Program of Gansu Province 25RCKA034Yuelushan Laboratory Breeding Program YLS-2025-ZY01004Yuelushan Laboratory Breeding Program YLS-2025-ZY03001
6 · The paper itself

Abstract

The majority of terrestrial plants can interact with arbuscular mycorrhizal fungi (AMF) to form symbiotic relationships. AMF colonization not only enhances the host plant's uptake of mineral nutrients but also improves its tolerance to biotic and abiotic stresses. In return, the host plant supplies the AMF with carbon sources essential for completing its life cycle. How AMF overcome the plant immune system to successfully establish symbiosis has remained an unresolved question. During colonization, AMF also secrete effector proteins, similar to how pathogenic fungi utilize effectors to promote virulence. In this study, we employed machine learning models such as SignalP 6.0 and EffectorP 3.0 to predict potential effectors in

Indexed as

arbuscular mycorrhizaseffector proteinRhizophagus irregularissymbiosis

Identifiers

PMID41745265
PMCPMC12941956

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.